Upload
others
View
9
Download
0
Embed Size (px)
Citation preview
Introduction to Quantum ChromodynamicsLecture 3
Steffen Schumann
Institute for Theoretical Physics
University of Gottingen
Quy Nhon – MCnet school 201917/09/19
1/30
NLO QCD predictions
2/30
Hard Processes at Next-to-Leading Order QCDThe need for higher precision
derive exclusion bounds from a given measurementnon-observation of a given hypothesis, e.g. heavy Higgs, BSM modelcrucial to know the corresponding production cross sections preciselyderive limits on particle masses, model parameters
counting experiments to extract certain parameters, couplings; at hadron colliders αS corrections indispensible, need one-loop QCD
stop mass bounds from Tevatron[from the early days, T. Plehn private communication]
10-1
1
100 110 120 130 140 150
∆MLO
∆MNLO
σNLO
σLO
: µ=[m(t)/2 , 2m(t)]
: µ=[m(t)/2 , 2m(t)]
m(t1) [GeV]
σ(pp– → t
1t−
1 + X) · BR(t
1t−
1 → ee + ≥ 2j) [pb]
CDF 95% C.L. upper limit (prel.)
m(χ1o)=m(t
1)/2
Higgs coupling extractionσ(gg → h→ γγ) ∼ Γg Γγ
Γ
σ(gg → h→WW ∗) ∼ Γg ΓWΓ
σ(qq → qqh, h→ ττ) ∼ ΓW ΓτΓ
...; Γi ∼ giih, Γg ∼ gtth; theoretical uncertainties dominate; systematics reduced for σ ratios
3/30
Hard Processes at Next-to-Leading Order QCDAnatomy of NLO QCD calculations
|M|2 = |MB |2 + αS
(|MR |2 + 2<(MBM†V )
)�
γ∗/Z0
�γ∗/Z0
�γ∗/Z0
σNLO2→n =
∫n
d(4)σB +∫
n+1d(d)σR +
∫n
d(d)σV︸ ︷︷ ︸αS real & virtual corrections
real-emission σR
; IR divergence for soft/collinear emission(UV renormalized) virtual-corrections σV
; IR divergent when propagator goes on-shelldivergences manifest in dimensional regularisation, d = 4− 2ε; occurence of single & double poles, i.e. 1/ε, 1/ε2
for IR safe observables poles cancel, the sum is finite [Kinoshita ’62; Lee, Nauenberg ’64]
4/30
Hard Processes at Next-to-Leading Order QCDAnatomy of NLO QCD calculations
|M|2 = |MB |2 + αS
(|MR |2 + 2<(MBM†V )
)�
γ∗/Z0
�γ∗/Z0
�γ∗/Z0
σNLO2→n =
∫n
d(4)σB +∫
n+1d(d)σR +
∫n
d(d)σV︸ ︷︷ ︸αS real & virtual corrections
real-emission σR
; IR divergence for soft/collinear emission(UV renormalized) virtual-corrections σV
; IR divergent when propagator goes on-shelldivergences manifest in dimensional regularisation, d = 4− 2ε; occurence of single & double poles, i.e. 1/ε, 1/ε2
for IR safe observables poles cancel, the sum is finite [Kinoshita ’62; Lee, Nauenberg ’64]
4/30
Hard Processes at Next-to-Leading Order QCDAnatomy of NLO QCD calculations
|M|2 = |MB |2 + αS
(|MR |2 + 2<(MBM†V )
)�
γ∗/Z0
�γ∗/Z0
�γ∗/Z0
σNLO2→n =
∫n
d(4)σB +∫
n+1d(d)σR +
∫n
d(d)σV︸ ︷︷ ︸αS real & virtual corrections
real-emission σR
; IR divergence for soft/collinear emission(UV renormalized) virtual-corrections σV
; IR divergent when propagator goes on-shelldivergences manifest in dimensional regularisation, d = 4− 2ε; occurence of single & double poles, i.e. 1/ε, 1/ε2
for IR safe observables poles cancel, the sum is finite [Kinoshita ’62; Lee, Nauenberg ’64]
4/30
Hard Processes at Next-to-Leading Order QCDInfrared & Collinear safe observables
interested in observable-independent formulation
OB =∫|M(n)
B |2 dΦnΘ(n)(O, {pn})
OR =∫|M(n+1)
R |2 dΦn+1Θ(n+1)(O, {pn+1})
OV =∫
2<(MBM†V) dΦnΘ(n)(O, {pn})
with dΦn/n+1 the n/n + 1 particle phase space, Θ(n/n+1) obs. measure function
formal requirements on the measurement function:Θ(n+1)(p1, . . . , pi = λq, . . . , pn+1) → Θ(n)(p1, . . . , pn+1)
for λ→ 0 soft limitΘ(n+1)(p1, . . . , pi , . . . , pj , . . . , pn+1) → Θ(n)(p1, . . . , p, . . . , pn+1)
for pi → zp , pj = (1− z)p collinear limitsimply remove (soft) parton i , or replace collinear pair {pi , pj } by p = pi + pj
; definition of infrared & collinear safe observables
5/30
Hard Processes at Next-to-Leading Order QCDInfrared & Collinear safe observables
interested in observable-independent formulation
OB =∫|M(n)
B |2 dΦnΘ(n)(O, {pn})
OR =∫|M(n+1)
R |2 dΦn+1Θ(n+1)(O, {pn+1})
OV =∫
2<(MBM†V) dΦnΘ(n)(O, {pn})
with dΦn/n+1 the n/n + 1 particle phase space, Θ(n/n+1) obs. measure functionformal requirements on the measurement function:
Θ(n+1)(p1, . . . , pi = λq, . . . , pn+1) → Θ(n)(p1, . . . , pn+1)for λ→ 0 soft limit
Θ(n+1)(p1, . . . , pi , . . . , pj , . . . , pn+1) → Θ(n)(p1, . . . , p, . . . , pn+1)for pi → zp , pj = (1− z)p collinear limit
simply remove (soft) parton i , or replace collinear pair {pi , pj } by p = pi + pj
; definition of infrared & collinear safe observables5/30
Hard Processes at Next-to-Leading Order QCDAnatomy of NLO QCD calculations cont’d
σNLO2→n =
∫n
d(4)σB +∫
n+1d(d)σR +
∫n
d(d)σV︸ ︷︷ ︸αS real & virtual corrections
finite corrections for IR safe observablesanalytical integration with cuts in d-dim infeasible for high-multi final stateswe are interested in fully-differential answer, use of MC integration methodshowever, both terms σR & σV exhibit divergences, i.e. are unboundσR in (n + 1)-particle phase space, σV in n-particle phase space
Subtraction methodsattempt to devise local subtraction term such that both integrals areseparately finite and can be performed as ordinary multi-dimensionalphase-space integrals; based on universality of QCD IR divergences; aim for IR regularisation at integrand level
6/30
Hard Processes at Next-to-Leading Order QCDAnatomy of NLO QCD calculations cont’d
σNLO2→n =
∫n
d(4)σB +∫
n+1d(d)σR +
∫n
d(d)σV︸ ︷︷ ︸αS real & virtual corrections
finite corrections for IR safe observablesanalytical integration with cuts in d-dim infeasible for high-multi final stateswe are interested in fully-differential answer, use of MC integration methodshowever, both terms σR & σV exhibit divergences, i.e. are unboundσR in (n + 1)-particle phase space, σV in n-particle phase space
Subtraction methodsattempt to devise local subtraction term such that both integrals areseparately finite and can be performed as ordinary multi-dimensionalphase-space integrals; based on universality of QCD IR divergences; aim for IR regularisation at integrand level
6/30
Hard Processes at Next-to-Leading Order QCDSubtraction methods cont’d
subtraction terms provide local approximation for the real-emission process∫n+1
d(d)σA =∫
n
∫1
d(d)σA
↪→ captures soft & collinear limits of amplitudes [1/ε and 1/ε2 poles]
↪→ analytically integrable (d-dim) over one-parton emission phase space
add & subtract from NLO differential cross section
σNLO2→n =
∫n+1
[d(4)σR−d(4)σA
]+∫
n
[d(4)σB +
∫loop
d(d)σV+∫
1d(d)σA
]ε=0
; separately finite phase-space integrals (4-dim); can be performed by means of MC integration; no ambiguous or unphysical cut-offs/scales get introduced
7/30
Hard Processes at Next-to-Leading Order QCDSubtraction methods cont’d
subtraction terms provide local approximation for the real-emission process∫n+1
d(d)σA =∫
n
∫1
d(d)σA
↪→ captures soft & collinear limits of amplitudes [1/ε and 1/ε2 poles]
↪→ analytically integrable (d-dim) over one-parton emission phase space
add & subtract from NLO differential cross section
σNLO2→n =
∫n+1
[d(4)σR−d(4)σA
]+∫
n
[d(4)σB +
∫loop
d(d)σV+∫
1d(d)σA
]ε=0
; separately finite phase-space integrals (4-dim); can be performed by means of MC integration; no ambiguous or unphysical cut-offs/scales get introduced
7/30
Hard Processes at Next-to-Leading Order QCDSubtraction methods cont’d
subtraction terms provide local approximation for the real-emission process∫n+1
d(d)σA =∫
n
∫1
d(d)σA
↪→ captures soft & collinear limits of amplitudes [1/ε and 1/ε2 poles]
↪→ analytically integrable (d-dim) over one-parton emission phase space
add & subtract from NLO differential cross section
σNLO2→n =
∫n+1
[d(4)σR−d(4)σA
]+∫
n
[d(4)σB +
∫loop
d(d)σV+∫
1d(d)σA
]ε=0
; separately finite phase-space integrals (4-dim); can be performed by means of MC integration; no ambiguous or unphysical cut-offs/scales get introduced
7/30
Hard Processes at Next-to-Leading Order QCDDipole subtraction method [Catani, Seymour Nucl. Phys. B 485 (1997) 291]
Catani & Seymour presented general expression for d(d)σA
(known as the dipole factorisation formula)constructed from Born process using universal dipole terms∫
n+1d(d)σA =
∑dipoles
∫n
d(d)σB ⊗∫
1d(d)Vdipole =
∫m
[d(d)σB ⊗ I
]↪→ universal dipole terms←↩spin- & color correlations
sum over dipoles contains all real-emission soft/collinear divergencessuited for any process with massless partons (0, 1, 2 initial-state hadrons)generalisation to massive partons [Catani,Dittmaier, Seymour, Trocsanyi Nucl. Phys. B 627 (2002) 189]
8/30
Hard Processes at Next-to-Leading Order QCDDipole subtraction method cont’d
subtraction method for arbitrary observables (IRC safe)
OB =∫|M(n)
B |2 dΦnΘ(n)(O, {pn})
ORS =∫
dΦn+1
[|M(n+1)
R ({pn})|2 Θ(n+1)(O, {pn+1})
−∑
i 6=j 6=kDij,k({pn}) Θ(n)(O, p1, .., pij , pk , .., pn+1})
]OVI =
∫dΦn
[2<(MBM†V) +
∫1[dp]Dij,k
]Θ(n)(O, {pn})
[dp] phase-space element of one-partonsuch, differential & integrated subtraction terms cancel exactly↪→ requires mapping of (n + 1)→ n configuration↪→ need to distinguish different dipole types
9/30
Hard Processes at Next-to-Leading Order QCDDipole subtraction method cont’d
dipoles involve three partons, splitting particles i , j and spectator kdistinguish initial- & final-state splitter/spectatorall contributions known, suitable for automated evaluation
FF FI
IF II
10/30
Example: e+e− → qq @ NLO QCDmost simple scattering processsensitive to QCD colour charges & strong coupling αS
first non-trivial contribution to jet sub-structure; stringent test of QCD dynamics
Born-level contribution: (e+e− →)γ∗ → qq
Mqq =
p1
p2
ie γµ
= ua(p1)ieqγµδabvb(p2)
σBqq = σLO
qq ∝ |Mqq|2 = 4πα2
3Q2 e2qNc
where Q2 = (p1 + p2)2
q
q
11/30
Example: e+e− → qq @ NLO QCDmost simple scattering processsensitive to QCD colour charges & strong coupling αS
first non-trivial contribution to jet sub-structure; stringent test of QCD dynamics
Born-level contribution: (e+e− →)γ∗ → qq
Mqq =
p1
p2
ie γµ
= ua(p1)ieqγµδabvb(p2)
σBqq = σLO
qq ∝ |Mqq|2 = 4πα2
3Q2 e2qNc
where Q2 = (p1 + p2)2
q
q
11/30
Example: e+e− → qq @ NLO QCDreal-emission correction, i.e. (e+e− →)γ∗ → qqg
Mqqg = k ,ε ie γ
µ
p1
p2
+k ,ε
ie γµ
p1
p2
= −ua(p1)igs ε/tAab
i(/p1 + /k)(p1 + k)2 ieqγµvb(p2) + ua(p1)ieqγµ
i(/p2 + /k)(p2 + k)2 igs ε/tA
abvb(p2)
defining Q2 = (p1 + p2 + k)2 = s and xi = 2pi · Q/Q2, we find
|Mqqg |2 = CF8παSQ2
x21 + x2
2(1− x1)(1− x2) |Mqq|2 ; singular when x1/2 → 1
associated phase-space element
dΦ(3) = Q2
16π2 dx1dx2 Θ(1− x1)Θ(1− x2)Θ(x1 + x2 − 1)
12/30
Example: e+e− → qq @ NLO QCDreal-emission correction, i.e. (e+e− →)γ∗ → qqg
Mqqg = k ,ε ie γ
µ
p1
p2
+k ,ε
ie γµ
p1
p2
= −ua(p1)igs ε/tAab
i(/p1 + /k)(p1 + k)2 ieqγµvb(p2) + ua(p1)ieqγµ
i(/p2 + /k)(p2 + k)2 igs ε/tA
abvb(p2)
defining Q2 = (p1 + p2 + k)2 = s and xi = 2pi · Q/Q2, we find
|Mqqg |2 = CF8παSQ2
x21 + x2
2(1− x1)(1− x2) |Mqq|2 ; singular when x1/2 → 1
associated phase-space element
dΦ(3) = Q2
16π2 dx1dx2 Θ(1− x1)Θ(1− x2)Θ(x1 + x2 − 1)
12/30
Example: e+e− → qq @ NLO QCDreal-emission subtraction term there are two FF dipoles contributing
D13,2(p1, p2, k) = 12p1k Vqg,q |Mqq|2
D23,1(p1, p2, k) = 12p2k Vqg,q |Mqq|2
corresponding subtracted real-emission cross section (d = 4)
σRSqqg =
∫3
[dσR
ε=0 − dσAε=0] (
pij + pk = Q , pk = 1xk
pk , pij = Q − 1xk
pk
)= |Mqq|2
CFαs
2π
∫ 1
0dx1 dx2 Θ(x1 + x2 − 1)
{[
x21 + x2
2(1− x1)(1− x2)
]Θ(3)(p1, p2, p3)
−[ 1
1− x2
( 22− x1 − x2
− (1 + x1))
+ 1− x1
x2
]Θ(2)(p13, p2)
−[ 1
1− x1
( 22− x1 − x2
− (1 + x2))
+ 1− x2
x1
]Θ(2)(p23, p1)
}; finite as x1/2 → 1 (implying Θ(3) → Θ(2))
13/30
Example: e+e− → qq @ NLO QCDvirtual correction & integrated dipole contribution (d = 4− 2ε)
V ⊃−ie γ
µie γ
µ
x
|M(d)qq |
2(1−loop)
MS= |M(d)qq |
2 CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε {− 2ε2 −
3ε− 8 + π2 +O(ε)
}
integrated dipole kernels
I(ε) = CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε { 2ε2 + 3
ε+ 10− π2 +O(ε)
}combining both contributions yields
σVIqq =
∫2
[dσV
qq +∫
1dσA
]ε=0
= |Mqq|2CFαs
π
∫dy12 δ(1− y12) Θ(2)(p1, p2)
where y12 = 2p1 · p2/Q2
14/30
Example: e+e− → qq @ NLO QCDvirtual correction & integrated dipole contribution (d = 4− 2ε)
V ⊃−ie γ
µie γ
µ
x
|M(d)qq |
2(1−loop)
MS= |M(d)qq |
2 CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε {− 2ε2 −
3ε− 8 + π2 +O(ε)
}integrated dipole kernels
I(ε) = CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε { 2ε2 + 3
ε+ 10− π2 +O(ε)
}
combining both contributions yields
σVIqq =
∫2
[dσV
qq +∫
1dσA
]ε=0
= |Mqq|2CFαs
π
∫dy12 δ(1− y12) Θ(2)(p1, p2)
where y12 = 2p1 · p2/Q2
14/30
Example: e+e− → qq @ NLO QCDvirtual correction & integrated dipole contribution (d = 4− 2ε)
V ⊃−ie γ
µie γ
µ
x
|M(d)qq |
2(1−loop)
MS= |M(d)qq |
2 CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε {− 2ε2 −
3ε− 8 + π2 +O(ε)
}integrated dipole kernels
I(ε) = CFαs
2π1
Γ(1− ε)
(4πµ2
Q2
)ε { 2ε2 + 3
ε+ 10− π2 +O(ε)
}combining both contributions yields
σVIqq =
∫2
[dσV
qq +∫
1dσA
]ε=0
= |Mqq|2CFαs
π
∫dy12 δ(1− y12) Θ(2)(p1, p2)
where y12 = 2p1 · p2/Q2
14/30
Example: e+e− → qq @ NLO QCD
total scattering cross sectionmeasurement functions given by Θ(3) = Θ(2) = 1
σNLOqq =
∫3
dσRSqqg +
∫2
[dσB
qq + dσVIqq]
= σLOqq
(1 + 3
4CFαs
π
)+O(α2
s )
Discussion:fully inclusive total cross section [IR safe]; real & virtual IR singularities properly cancelledyields modest, finite correctiondependent on strong-coupling parameter and its running
15/30
Example: e+e− → qq @ NLO QCDThe emerging picture
corrections to σtot dominated by hard, large-angle gluonssoft gluons play no role for σtot
collision characterised by thard ∼ 1/Qsoft-gluons emitted on long time scales tsoft ∼ 1/(Eθ2); cannot influence cross sectiontransition to hadrons occurs on long time scales thad ∼ 1/ΛQCD; can thus be ignored
with proper choice for scale of αs , µ2 = Q2, perturbation theory works well
σtot = σqq
1︸︷︷︸LO
+1.045αs(Q2)π︸ ︷︷ ︸
NLO
+0.94(αs(Q2)π
)2
︸ ︷︷ ︸NNLO
−15(αs(Q2)π
)3
︸ ︷︷ ︸NNNLO
+ · · ·
[coefficients given for Q2 = M2
Z , including EW corrections]
Total cross sections are inclusive quantities,inclusive in the number of additional QCD partons!
16/30
Scale Uncertainties of Fixed-Order PredictionsThe scale ambiguity
fixed-order prediction depends on (arbitrary) renormalisation scale µestimate theory uncertainty through scale variations, e.g. Q
2 < µ < 2Q; provides estimate of uncalculated higher-order terms
σNLOtot (µ2) = σqq
(1 + C1αs(µ2)
)withαs(µ2) = αs(Q2)− 2b0α
2s (Q2) ln
(µ
Q
)+O(α3
s )
= σqq
(1 + C1αs(Q2)− 2C1b0α
2s (Q2) ln
(µ
Q
)+O(α3
s ))
compare to
σNNLOtot (µ2) = σqq
(1 + C1αs(µ2) + C2(µ2)α2
s (µ2))
with C2(µ2) = C2(Q2) + 2C1b0α2s (Q2) ln
(µ
Q
)
17/30
Scale Uncertainties of Fixed-Order Predictions
The scale ambiguity
0.96
0.98
1
1.02
1.04
1.06
1.08
1.1
0.1 1 10
σee →
hadro
ns /
σee →
µR / Q
scale-dep. of σ(e+e
- → hadrons)
Q = MZ
0.5 < xµ < 2
conventional range
LO
NLO
0.96
0.98
1
1.02
1.04
1.06
1.08
1.1
0.1 1 10σ
ee →
hadro
ns /
σee →
µR / Q
scale-dep. of σ(e+e
- → hadrons)
Q = MZ
0.5 < xµ < 2
conventional range
LO
NLO
NNLO
; use scale variations to estimate theory uncertainty; probe residual dependence on (uncalculated) higher orders
18/30
NLO QCD: brief summaryMotivations
accurate cross-section estimatesreal-emission kinematics correctionsreduced systematic uncertainties [scale dependences]
Anatomy
↪→ subtraction of infrared singularities in real- & virtual corrections[Catani, Seymour Nucl. Phys. B 485 (1997) 291, Frixione et al. Nucl. Phys. B 467 (1996) 399]
↪→ dedicated one-loop amplitude codes: BLACKHAT, OPENLOOPS/COLLIER, RECOLA, ...
19/30
NLO QCD: brief summaryMotivations
accurate cross-section estimatesreal-emission kinematics correctionsreduced systematic uncertainties [scale dependences]
Anatomy
↪→ subtraction of infrared singularities in real- & virtual corrections[Catani, Seymour Nucl. Phys. B 485 (1997) 291, Frixione et al. Nucl. Phys. B 467 (1996) 399]
↪→ dedicated one-loop amplitude codes: BLACKHAT, OPENLOOPS/COLLIER, RECOLA, ...
19/30
Interlude: QCD jets & PDFs
20/30
The emergent picture: final-state jets
Jet definition (prel.): jets are collimated sprays of hadronic particles
hard partons undergo soft and collinear showeringhadrons closely correlated with the hard partons’ directions
q
q
Counting jets; near perfect two-jet event; almost all energy contained in two cones
21/30
The emergent picture: final-state jets
Jet definition (prel.): jets are collimated sprays of particles
hard partons undergo soft and collinear showeringhadrons closely correlated with the hard partons’ directions
Counting jets; hard emissions can induce more jets; jet counting not obvious, is this a three- or four-jet event?
22/30
Defining jetsJet definition (addendum): jet number shouldn’t depend upon just a
soft/collinear emission
; Infrared & collinear safety
jet 1 jet 2
LO partons
Jet Def n
jet 1 jet 2
Jet Def n
NLO partons
jet 1 jet 2
Jet Def n
parton shower
jet 1 jet 2
Jet Def n
hadron level
π π
K
p φ
Infrared & Collinear safe jet definitionscrucial for comparing theory with experimental results
23/30
Jet algorithms
Jet definitiongroup together particles into a common jets [jet algorithm]
typical parameter is R, distance in y − φ space, determines angular reachcombine momenta of jet constituents to yield jet momentum [recombination scheme]
two generic types of jet algorithms are commonly used:cone algorithms
widely used in the past at the Tevatronjets have regular/circular shapessome suffer from IR or collinear unsafety
sequential recombination algorithmswidely used at LEP [Durham kT algorithm]
jet can have irregular shapesdefault at the LHC experiments [anti-kT algorithm]
24/30
Sequential recombination algorithms
A generic jet finding algorithm1 compute a distance measure yij for each pair of final-state particles2 determine all distance measures wrt the beam yiB3 determine the minimum of all yij ’s and yiB ’s
1 if yij is smallest, combine particles ij, sum four-momenta2 if yiB is smallest, remove particle i , call it a jet
4 go back to step one, until all particles are clustered into jetsin analyses one typically uses
jets with inter-jet distances yij > ycut [exclusive mode]jets with inter-jet distances yij > ycut & E > Ecut [inclusive mode]
different algorithms use different measures: yij & yiB
25/30
Sequential recombination algorithms: the kT algorithm
recall the soft and collinear limit of the gluon-emission probability for a→ ij
dS '2αsCA/F
π
dEimin(Ei ,Ej)
dθijθij
,
using min(Ei ,Ej) we can avoid specifying which of i and j is soft
The kT -algorithm distance measure
yij =2 min(E 2
i ,E 2j )(1− cos θij)Q2
; in the collinear limit: yij ' min(E 2i E 2
j )θ2ij/Q2
; relative transverse momentum, normalized to total energy; soft/collinear particles get clustered first
26/30
Sequential recombination algorithms: the anti-kT algorithm
recall the soft and collinear limit of the gluon-emission probability for a→ ij
dS ' 2αsCiπ
dEimin(Ei ,Ej)
dθijθij
,
using min(Ei ,Ej) we can avoid specifying which of i and j is soft
The anti-kT -algorithm distance measure
yij = 2Q2 min(E−2i ,E−2
j )(1− cos θij)
; jet-finding starts out with hard objects; softer particles get clustered into hard jets later on; produces nicely regular shaped jets; default in current LHC physics analyses
27/30
Jet algorithms at work: kT jets at LEP
kT jet fractions at LEP
[Gehrmann-De Ridder et al. Phys. Rev. Lett. 100 (2008) 172001]
28/30
Jet algorithms at work: kT jets at LEP
kT jet fractions at LEP
[Gehrmann-De Ridder et al. Phys. Rev. Lett. 100 (2008) 172001]
28/30
Jet algorithms at work: anti-kT jets at LHC
anti-kT inclusive jets at LHC
29/30
Jet algorithms at work: anti-kT jets at LHCThe V+jets processesbackground to many BSM searcheswide range of kinematics↪→ multi-scale QCD problem
Njets: jet multiplicity[ATLAS-CONF-2016-046]
BH+SH: NLO QCD MEs
SHERPA: 0,1,2j MEPS@NLO + 3,4j MEPS@LO
FxFx: 0,1,2j NLO MEs + shower
30/30
Jet algorithms at work: anti-kT jets at LHCThe V+jets processesbackground to many BSM searcheswide range of kinematics↪→ multi-scale QCD problem
HT : scalar sum of jet pT ’s[ATLAS-CONF-2016-046]
30/30